Dense outlier detection and open-set recognition based on training with noisy negative images

22 January 2021

Papers citing "Dense outlier detection and open-set recognition based on training with noisy negative images"

6 / 6 papers shown

Title
Weakly supervised training of universal visual concepts for multi-domain semantic segmentation Petra Bevandić Marin Orsic Ivan Grubišić Josip Saric Sinisa Segvic 31 5 0 20 Dec 2022
Dynamic loss balancing and sequential enhancement for road-safety assessment and traffic scene classification Marin Kavcan Marko Sevrovic Sinivsa vSegvić 19 1 0 08 Nov 2022
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection Navid Ghassemi E. F. Ersi AAML OODD 23 4 0 26 Sep 2022
Dual Decision Improves Open-Set Panoptic Segmentation Hainan Xu Hao Chen Lingqiao Liu Yufei Yin VLM 24 6 0 06 Jul 2022
GOSS: Towards Generalized Open-set Semantic Segmentation Jie Hong Weihong Li Junlin Han Jiyang Zheng Pengfei Fang Mehrtash Harandi L. Petersson VLM 27 19 0 23 Mar 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015